Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(712 bytes)
E08312 12 500 5000
E08312.mat 16x1+24 1000.0(0)/mV 16 0 -9 -16605 0 I
E08312.mat 16x1+24 1000.0(0)/mV 16 0 -48 19262 0 II
E08312.mat 16x1+24 1000.0(0)/mV 16 0 -39 -29370 0 III
E08312.mat 16x1+24 1000.0(0)/mV 16 0 29 -1378 0 aVR
E08312.mat 16x1+24 1000.0(0)/mV 16 0 14 -26385 0 aVL
E08312.mat 16x1+24 1000.0(0)/mV 16 0 -43 27317 0 aVF
E08312.mat 16x1+24 1000.0(0)/mV 16 0 -19 28527 0 V1
E08312.mat 16x1+24 1000.0(0)/mV 16 0 -87 -8116 0 V2
E08312.mat 16x1+24 1000.0(0)/mV 16 0 -58 15025 0 V3
E08312.mat 16x1+24 1000.0(0)/mV 16 0 -29 22440 0 V4
E08312.mat 16x1+24 1000.0(0)/mV 16 0 -48 -11577 0 V5
E08312.mat 16x1+24 1000.0(0)/mV 16 0 -68 19469 0 V6
# Age: 62
# Sex: Male
# Dx: 59118001
# Rx: Unknown
# Hx: Unknown